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Decision Support Systems (DSS) are widely recognized as important tools supporting decision making processes, quite little adopted yet to support sustainable spatial and mobility planning, despite a wide range of literat...

Currently, many prospective students are still confused about which study program to choose. One of the problematic factors is the lack of references from prospective students about the contents of each study program. Th...

Abstract BackgroundArtificial intelligence (AI) integrated with point-of-care imaging is a promising approach to expand access in settings with limited specialist availability. However, no systematic review h...

Abstract Recognizing tactical formations is a critical task in professional football performance analytics. However, existing methods often fail to capture the dynamic and continuously evolving nature of modern tactical ...

ABSTRACT Background and Aims Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), is transforming healthcare by enabling improved diagnosis, prognosis, and personalized treatments. How...

The National Formulary plays a critical role in promoting rational drug use and controlling healthcare costs within Indonesia’s National Health Insurance system. Ensuring compliance with formulary restrictions, includi...

El presente trabajo presenta el desarrollo y uso de un software que permite construir sistemas de soporte para la toma de decisiones (SSD) basados en índices e indicadores cuantitativos. Dicho software posee un alto gra...

"Decision support systems can alert physicians to the existence of drug interactions. The Hospital Italiano de Buenos Aires, Argentina, has an in-house electronic health record with computerized physician order entry and...

Nowadays information circulates quickly in a human organization, what generates an internal difficulty in preserving inside the organization essential information to support decision-making. Decision Support Systems (DSS...

In the context of global changes and the complexity of socio-economic systems, making management decisions is becoming an increasingly challenging process. Digital transformation, which has become a key goal for the deve...

The article explores the strategic role of accounting and financial support within modern enterprise decision-making systems. It examines how accounting has evolved from a transactional function into a core analytical an...

Dairy farms increasingly deploy sensor networks that generate high-frequency behavioral and spatial data, yet translating these multimodal streams into actionable welfare insights remains a key challenge. This study pres...

The literature frequently analyses the impact or implications of artificial intelligence on management and implicitly on the decision-making process in organizations. Both the changes generated by this modern technolog...

Generative artificial intelligence systems increasingly enable novice users to create complex websites with minimal technical expertise; however, these users often struggle to evaluate the visual quality of AI-generated ...

Operational failures in military and emergency contexts are routinely attributed to technical malfunction, inadequate training, or weak leadership. What such accounts tend to miss are the subtler psychological and organi...

This article presents the Climate-Resilient Systems Prioritisation Index (CRESPI), a GIS-based spatial decision-support framework developed to support climate resilience planning through the prioritisation of Nature-base...

The field of artificial intelligence (AI), machine learning and intelligent automation has become pervasive in our modern digital world. It extends from business and public services to environmental management and even i...

Technological-based early warning systems (EWS) in rural Indonesia have shown limited long-term adoption because centralised, top-down mechanisms fail to incorporate the contextual triggers trusted by local communities, ...

IntroductionThis study investigates the cognitive judgment justification mechanism underlying consumer purchase intention formation in AI-based information environments, particularly within the experience-good context of...

Executive summary: Although health outcomes have improved in low-income and middle-income countries (LMICs) in the past several decades, a new reality is at hand. Changing health needs, growing public expectations, and a...

The integration of renewable energy sources into modern power systems is a global priority aimed at reducing carbon emissions, decreasing fossil fuel dependency, and advancing sustainable development goals. In this conte...

Background: Data-driven decision-making (D3M) has become essential for enhancing efficiency, accountability and student success in higher education institutions (HEIs). Yet, South African universities continue to face c...

Water information systems (ISs) are essential for sustainable water management but are often constrained by fragmented, heterogeneous, and rapidly evolving data. Advances in generative artificial intelligence (GenAI), pa...

Agentic tool-augmented large language models are a common design for therapeutic decision support. The model can issue structured calls to external resources during inference, such as drug label endpoints, and then cite ...